Stochastic Methods in Neuroscience

Stochastic Methods in Neuroscience
Oxford University Press, USA | 2009-11-30 | ISBN: 0199235074 | 416 pages | File type: PDF | 16 mb
Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are leading to biophysically more realistic models. It has also become clear that both neuroscientists and mathematicians profit from collaborations in this exciting research area.

Graduates and researchers in computational neuroscience and stochastic systems, and neuroscientists seeking to learn more about recent advances in the modelling and analysis of noisy neural systems, will benefit from this comprehensive overview. The series of self-contained chapters, each written by experts in their field, covers key topics such as: Markov chain models for ion channel release; stochastically forced single neurons and populations of neurons; statistical methods for parameter estimation; and the numerical approximation of these stochastic models.

Each chapter gives an overview of a particular topic, including its history, important results in the area, and future challenges, and the text comes complete with a jargon-busting index of acronyms to allow readers to familiarize themselves with the language used.

[Fast Download] Stochastic Methods in Neuroscience

Related eBooks:
The Theory of Linear Prediction
Topological Vector Spaces
Mathematical Modelling in Plant Biology
Universal Algebra
The Case for Cases
Calculus Made Easy
Integral Methods in Science and Engineering
Collected Lectures on the Preservation of Stability Under Discretization
The Divine Proportion: A Study in Mathematical Beauty
Elements of Mathematics : Algebra II: Chapters 4-7
Unrolling Time: Christiaan Huygens and the Mathematization of Nature
Advanced Mathematics for Applications
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.